Instructions to use marcopost-it/biobert-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcopost-it/biobert-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="marcopost-it/biobert-it")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("marcopost-it/biobert-it") model = AutoModelForMaskedLM.from_pretrained("marcopost-it/biobert-it") - Notebooks
- Google Colab
- Kaggle
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README.md
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This model has been trained on Italian biomedical data.
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For further information, do not hesitate to send me a message! ;)
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marco.postiglione@unina.it (Marco Postiglione)
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This model has been trained on Italian biomedical data.
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For further information, do not hesitate to send me a message! ;)
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marco.postiglione@unina.it (Marco Postiglione)
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